Forsidebilde av showet The Bovine Vet Podcast

The Bovine Vet Podcast

Podkast av Farm Journal

engelsk

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Behind every new technology, diagnostic tool, protocol or technique in cattle health is a real-world problem that someone set out to solve. The Bovine Vet Podcast talks with the veterinarians, researchers and industry professionals putting these innovations to work to improve outcomes in the field. The best tools are those that help make the best decisions for clients and their cattle.

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episode The Bovine Vet Podcast: From mastitis detection to decision with technology cover

The Bovine Vet Podcast: From mastitis detection to decision with technology

Mastitis detection has advanced rapidly, with new technology promising better outcomes. In this episode, we explore mastitis as a systems-level problem shaped by housing, labor, management decisions, and data interpretation, not just pathogens. Dr. Justin Hess, a bovine veterinarian in Michigan, and Dr. Alon Arazi, chief veterinarian at Afimilk, discuss with me where current detection tools perform well, there they fall short, and why subclinical mastitis remains one of the biggest blind spots on dairies. We discuss how automated monitoring systems flag abnormal patterns, why they are not a diagnostic on their own, and how false positives can undermine trust if sensitivity and specificity are poorly balanced. The conversation also looks ahead to the future of mastitis detection, including earlier risk identification, predictive modeling, and the potential for insight into pathogen type.  See omnystudio.com/listener [https://omnystudio.com/listener] for privacy information.

3. feb. 2026 - 1 h 28 min
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